Ataturkınator Brown Arab

Ataturkınator Brown Arab — CS2 Stats

76561198110416902[U:1:150151174]Steam profile ↗✓ No bans

854Tracked matches59%Win rate2024Tracked since
CSDB Rating2.4 Learning
Premier CS Rating13,481Blue band · top ~36.4% of ranked players (population est.)
CSDB Leaderboard#22689 of 34214 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAtaturkınator Brown ArabFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,481 · Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning28
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateWWWWLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim1.8
Aggression3.0
Utility2.6
Positioning2.8
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 33% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 721ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim1.8
Positioning2.8
Utility2.6
Mechanics1.6
Opening Duels0.3
Win Impact8.1

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time724ms+40ms
first ⅓ avg 684ms → last ⅓ avg 724ms
Headshot accuracy17.4%+1.0%
first ⅓ avg 16.3% → last ⅓ avg 17.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.07Best rating — ancient 13–6
131Biggest win — cache
9Longest win streak
W4Current streak
53In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 83% over 6nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
officeS2013765%-0.07
trainB168850%-0.03
cacheB137654%-0.05
vertigoA116555%-0.05
dust2A106460%-0.03
nukeD93633%-0.03
infernoS65183%-0.06
ancientS54180%0.01
overpass42250%-0.06
mirage31233%-0.07
anubis31233%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches
34%Win rate
0.71Avg K/D
69.8ADR
45%Headshot %

Clutches & streaks

17%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2922%0.7014.0
Inferno862%0.8813.5
Ancient425%0.367.5
Mirage333%0.7715.0
Anubis20%0.407.0
Overpass250%0.8216.0
Cache10%1.0814.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
26.4%Accuracy (enemy spotted)
30.0%Spray accuracy
57.4%Counter-strafing
11.4°Preaim
721msReaction time
17.6%T opening success
32.6%CT opening success
0.48Enemies flashed / flash
1.8%Flash assists
7.31HE damage / grenade
3.43Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 720.8632ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4822 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 17.6236% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–5-0.0721%16 Jun
office13–60.0011%30 May
dust213–50.0310%30 May
ancient13–4-0.0120%30 May
nuke8–13-0.0230%20 May
dust213–80.0119%20 May
overpass13–10-0.0722%18 May
mirage9–13-0.0915%18 May
inferno1–13-0.1138%18 May
nuke5–13-0.0017%18 May
dust213–8-0.018%17 May
vertigo2–5-0.0614%17 May
train12–12-0.069%17 May
office13–7-0.1016%15 May
office9–13-0.113%15 May
overpass12–12-0.089%14 May
inferno13–11-0.0726%14 May
anubis6–13-0.0218%14 May
cache13–9-0.0614%14 May
train13–9-0.0115%9 May
vertigo7–13-0.0413%9 May
office11–13-0.1124%8 May
office13–10-0.056%8 May
office13–10-0.079%6 May
office13–9-0.053%6 May
cache5–13-0.056%6 May
nuke1–5-0.0057%6 May
train13–5-0.0713%4 May
vertigo9–20.0031%4 May
vertigo12–12-0.0730%4 May
train11–13-0.0418%3 May
vertigo13–7-0.0612%3 May
train13–10-0.0215%3 May
train7–13-0.0717%3 May
cache10–13-0.0928%3 May
cache13–1-0.0158%3 May
cache13–11-0.0220%3 May
cache9–13-0.096%30 Apr
cache5–13-0.087%29 Apr
cache13–9-0.0421%29 Apr
cache8–13-0.1316%29 Apr
cache13–1-0.025%29 Apr
cache7–1-0.0511%29 Apr
cache13–1-0.0228%29 Apr
cache8–13-0.0219%28 Apr
train7–13-0.068%22 Apr
train12–12-0.0229%22 Apr
nuke2–5-0.140%22 Apr
train13–10-0.0116%20 Apr
train1–13-0.0822%20 Apr
train13–10.0121%20 Apr
train5–40.0211%20 Apr
train13–7-0.0117%20 Apr
vertigo13–11-0.0317%20 Apr
vertigo12–12-0.0821%20 Apr
vertigo13–5-0.0211%20 Apr
mirage7–12-0.0627%20 Apr
overpass13–6-0.0216%20 Apr
inferno13–11-0.0421%20 Apr
anubis13–70.0122%20 Apr
dust213–16-0.0610%20 Apr
dust213–5-0.0620%15 Apr
nuke13–5-0.0322%15 Apr
dust29–13-0.0618%15 Apr
inferno13–8-0.0416%15 Apr
mirage13–7-0.0619%15 Apr
nuke13–10.0211%15 Apr
train13–5-0.0318%15 Apr
vertigo13–4-0.0810%15 Apr
train13–100.017%15 Apr
ancient13–5-0.0512%15 Apr
dust213–11-0.0115%15 Apr
nuke13–10.0314%15 Apr
office7–13-0.0925%12 Apr
inferno13–10-0.0615%11 Apr
ancient13–60.0718%11 Apr
dust213–9-0.0213%11 Apr
office13–4-0.0621%11 Apr
dust27–13-0.0312%11 Apr
nuke8–13-0.0528%11 Apr
train9–13-0.066%11 Apr
vertigo2–13-0.0823%11 Apr
inferno13–10-0.0613%11 Apr
overpass1–13-0.0714%11 Apr
nuke2–13-0.0711%3 Apr
ancient12–120.0420%29 Mar
anubis6–13-0.0610%29 Mar
office9–13-0.1021%26 Mar
office13–6-0.0424%24 Mar
office2–9-0.0914%22 Mar
office13–9-0.0815%22 Mar
office13–40.0120%22 Mar
office5–13-0.1012%22 Mar
office13–9-0.0823%21 Mar
office13–2-0.0616%18 Mar
office13–8-0.0315%18 Mar
ancient13–6-0.0110%13 Mar
dust22–13-0.0625%13 Mar
office8–13-0.1119%12 Mar
office13–9-0.0422%12 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →